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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Article DOI: 10.3791/62386-v • 06:07 min • May 23rd, 2021
May 23rd, 2021 •
1,2,3, 1,2, 1,2, 1,2, 1,2, 1,2,3, 1,2,3
1Department of Medicine I, University Hospital Munich, Campus Großhadern, Ludwig-Maximilians University Munich (LMU), 2DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), 3Walter Brendel Centre of Experimental Medicine, Ludwig-Maximilians University Munich (LMU)

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Here we present a step-by-step protocol for a semiautomated approach to analyze murine long-term electrocardiography (ECG) data for basic ECG parameters and common arrhythmias. Data are obtained by implantable telemetry transmitters in living and awake mice and analyzed using Ponemah and its analysis modules.

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Analyzing Long-term Electrocardiography Recordings Detect Arrhythmias Mice Large ECG Data Sets Screening Challenging Labor Intensive Semi-automated Approach Faster Convenient Accurate Results Aparna Chivukula PhD Student Basic ECG Parameters Subject Setup Channel Details Derived Parameters Circadian Rhythm Resting ECGs Daytime Nighttime Control For Circadian Effects Light On Or Off Cycle Animal Facility Good Signal Quality Stable Heart Rate Heart Rate Trend Graph Validation Masks Consecutive QRS Complexes Missing Validation Marks Calculations Visualizations Spreadsheet Statistics Software
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